摘要
为确定实时信息对于出行行为的影响,探索了手机APP提供多交通方式实时出行者信息下的通勤者交通方式选择行为。采用意向调查方法,获取了上海市居民在提供包含两条自驾路线(以高架为主和以地面为主)和一条停车换乘地铁路线的实时交通信息情况下的交通方式选择行为数据。运用描述性分析和多元logit模型,得到了交通方式选择的主要影响因素。研究发现,通勤者的驾龄、家庭私家车数量、开车频率、获取交通信息频率、停车换乘设施使用经历等个体属性,行程时间和车厢拥挤程度等信息内容,会显著影响出行决策。此外,提出了对交通规划与管理和多交通方式出行者信息系统研发有指导意义的建议。
In order to determine the impact of real-time information on travel behaviors, car commuters' travel behaviors were investigated with the presence of a smartphone multi-modal travel information system. Based on a stated preference survey of Shanghai travelers, behavioral data were collected with the smartphone multi-modal travel information system that provides two auto routes (mainly based on overhead and ground) and one subway park-and-ride route. A descriptive analysis and multivariate logit model was proposed to identify contributing factors. It is shown that travel decisions are influenced by traveler attributes about the driving experience, number of family private cars, frequency of driving, frequency of traffic information access and user experience of subway park-and-ride as well as the information about travel time and crowdedness status of subway. In addition, some suggestions were given for guiding the traffic planning and management and developing the multi-modal travel information system.
作者
孙亦凡
干宏程
SUN Yifan;GAN Hongcheng(Center for Supernetworks Research,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《上海理工大学学报》
CAS
北大核心
2018年第6期595-600,共6页
Journal of University of Shanghai For Science and Technology
基金
国家自然科学基金资助项目(71871143)
上海市自然科学基金资助项目(15ZR1428100)
上海市曙光学者人才项目(15SG41)
